Methods and systems for generating color images

ABSTRACT

Systems for generating in-focus color images are provided. Related methods and devices are also provided.

CROSS-REFERENCE

This application is a continuation of U.S. patent application Ser. No. 15/175,311, filed Jun. 7, 2016, now U.S. Pat. No. 9,956,061, issued May 1, 2018, which is a continuation of U.S. patent application Ser. No. 13/957,326, filed Aug. 1, 2013, now U.S. Pat. No. 9,393,087, issued Jul. 19, 2016, the entire contents of each are herein incorporated by reference.

BACKGROUND

Various techniques can be used for obtaining the three dimensional (3D) topography of an object. Information regarding 3D topography of a surface can be used to image a plethora of objects and surfaces. For example, 3D topography data can be used for a host of applications including applications in dental imaging and restoration. In some instances, 3D imaging methodologies can be used for imaging an oral cavity of a patient. With the additional use of computer-assisted design (CAD) or computer-assisted manufacture (CAM) methods, tooth replacements can be designed and manufactured without having to make any cast impressions of a patient's teeth. Imaging systems can, e.g., include an optical probe coupled to a detector and a processor for generating a suitable image to allow for design and fabrication of a desired product (e.g., a physical model and/or prosthesis).

Associating color information with three-dimensional objects is not straightforward, particularly when the position information is obtained by using a three dimensional scanning method and the color information is obtained using a two dimensional scanning method. The problem of conformally mapping the two dimensional color information onto the three dimensional surface model is difficult and it is common for mismatching of the color with three-dimensional points to occur. For example, it can be difficult to accurately associate color information from the detectors with the correct points on the three dimensional surface model, particularly if relative movement between the object and the device occurs between the acquisition of the three-dimensional topological data and acquisition of the two-dimensional image data.

Thus, there is a need for improved methods and systems for generating color images, e.g., focused color images, of an object, such as a patient's dentition.

SUMMARY

Systems, methods, and devices for generating color images of an object are provided. For example, in many embodiments, the systems, methods, and devices generate focused two-dimensional (2D) color images of an object (e.g., a patient's dentition) in combination with three-dimensional (3D) topography data of the object. The multi-focal color image generation disclosed herein provides enhanced color acquisition relative to single focal color image generation. Additionally, the systems, methods, and devices disclosed herein can be used to concurrently acquire in-focus color images and corresponding 3D topography data.

In some aspects, methods are provided for generating a focused color image of an object. The methods can include illuminating the object with a light source, wherein a first wavelength of light and a second wavelength of light from the light source are focused in a first focal plane and a second focal plane. A detector can be used to collect first image data of the illuminated object at a first time point. The first image data can correspond to the first wavelength of light reflected from the object at the first focal plane. The same or a different detector can also be used to collect second image data of the illuminated object at a second time point. The second image data can correspond to the second wavelength of light reflected from the object at the second focal plane. The first and second image data can then be combined to generate the focused color image of the object. Related methods, systems and devices are also provided.

Other objects and features of the present invention will become apparent by a review of the specification, claims and appended figures.

INCORPORATION BY REFERENCE

All publications, patents, and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, or patent application was specifically and individually indicated to be incorporated by reference.

BRIEF DESCRIPTION OF THE DRAWINGS

A better understanding of the features and advantages of the present invention can be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:

FIG. 1 depicts an example system for generating color and 3D topography images, in accordance with an embodiment.

FIG. 2 illustrates an example device for collecting 3D and/or color image data, in accordance with an embodiment.

FIG. 3 illustrates an example pattern for color recognition by a color detector, in accordance with an embodiment.

FIG. 4A shows an example method for generating an in-focus color image of an object, in accordance with an embodiment.

FIG. 4B illustrates how object locations can be out of focus for a particular focal length, in accordance with an embodiments.

FIG. 4C illustrates a range of focal lengths employed during focal length scanning, in accordance with an embodiments.

FIG. 4D illustrates focal length differences at time points during focal length scanning that can arise due to chromatic aberration, in accordance with an embodiment.

FIGS. 5 through 8 depict example techniques for scanning and generating 3D and/or color image data of an object, in accordance with many embodiments.

DETAILED DESCRIPTION

Systems, methods and devices for generating color images of an object are provided. For example, in many embodiments, systems, methods, and/or devices generate focused two-dimensional (2D) color images of a patient's dentition in combination with three-dimensional (3D) topography data of the patient's dentition.

The methods and systems provide, among many features, fast and easy acquisition of color and 3D topography data representing an object. For example, the methods and systems can be used to collect 2D color images that are in focus and accurately represent an object. In addition, 3D topographical data of the surface of the object can be generated in real-time and in combination with the 2D color image data. In one aspect, the 3D topographical data and 2D color image data can be processed and combined together to be output to a display for user visualization. Based at least in-part on the methods and systems described herein, new and improved ways are provided to generate in-focus color images (e.g., RGB images) of an object that can overlaid with 3D image data corresponding to the object. In existing approaches, in which color imaging and 3D data acquisition are not both performed over a shared period of time, the combined total time required to separately acquire a color image and separately perform 3D topography scanning may be longer than desirable with respect to operator convenience and/or patient comfort. Additionally, when a hand held imaging scanner is employed, the acquisition of a color image and performance of 3D topography scanning is preferably performed at close to the same time so as to avoid possible detrimental movement of the scanner. In contrast to such existing approaches, the methods and systems disclosed herein can be used to acquire an color image and perform 3D topography scanning over a shared period of time, thereby reducing the total amount of time required and help avoid detrimental movement of the scanner as a result of the reduced total amount of time, as well as a result of the ability to obtain color image data and 3D topography data for portions of the object at substantially the same time.

Any suitable type of object can be imaged. In one embodiment, the scanning methods and systems can be used to generate images representing a patient's teeth. For example, some or all of a patient's teeth can be scanned and provided for display to a user. Using the 3D topographical data, for example, 3D virtual models of the patient's teeth can be displayed and manipulated, e.g., to facilitate a dental practitioner in a dental procedure. In some instances, e.g., the 3D virtual models can be used to define spatial relationships of a patient's teeth to define how to manufacture a dental prosthesis (e.g., a crown or a bridge) shaped to fit that particular patient's occlusion. In addition to displaying a 3D virtual model, the methods and systems described herein provide for display of color information of the patient's teeth. For example, gums and teeth can be easily distinguished by color and that color information can also be combined with the 3D topographical data to produce focused color images that can be combined with the 3D topographical data to produce color 3D virtual models. The data generated by the systems and methods can also shared and stored to be later transmitted or output, e.g., to manufacturing devices that can be used to make physical models and/or physical replicas of a dental prosthesis that is designed virtually.

In one aspect, a system is provided for generating a focused color image of an object. The system can include a polychromatic light source that can be used, e.g., to produce light for generating color images. The polychromatic light can be reflected off a surface of an object and then imaged to produce color images. To facilitate production of color images, the system can include an optics system optically coupled to the light source so as to focus the polychromatic light at a first focal plane and a second focal plane, in which the first focal plane includes one color (e.g., red) and the second focal plane includes another color (e.g., green). In some embodiments, a third color (e.g., blue) can be focused at a third focal plane. The focal planes of the different colors of light can be scanned over the surface of an object and the different colors of light can be reflected to allow for collection of color image data representing the surface of the object. In some aspects, the system can include a detector configured to collect color image data at different time points in a scanning procedure. For example, image data corresponding to one color (e.g., red) of the polychromatic light source can be collected at a first time point. Image data for another color (e.g., green) can be collected at a second time point. Due in part to the different Z-locations of focal points for the red and green colors, the green color image data can be in focus while the red color image data will not be in focus. As the focal planes are scanned during the scanning procedure, the red focus can be moved such that red image data is in focus and the green is not in focus. The collected image data of the focused red and green images can then be processed by a processor configured to combine the color image data to generate the focused color image of the object.

In some embodiments, focused color images can be produced, e.g., by collecting in-focus image data of the color data for each color of the polychromatic light at different time points in which each color is independently in focus. Given that the different colors can be in different focal planes, one color may be in focus while another color is not in focus because the object will be in the vicinity of one color's focal plane but not the other. Depending on the position of the different colors of light in relation to an object (e.g., the focal planes for each different color), focused image data for one color (e.g., red) can be generated and collected from the object. At that time point of collection for the one color, another color (e.g., blue) may not produce in-focus color data. Instead, focused image data for the other color (e.g., blue) can be collected at a different time point in a scan of the object, such that the other color is in focus and the one color (e.g., red) is not in focus. The focused color image data at each time point can then be combined to produce an in-focus red and blue image. Other color combinations can also be used to generate, e.g., real RGB images of an object.

A variety of imaging systems can be used to produce the in-focus color images as described herein. An imaging system that produces different colors at different focal planes can be used. The different focal planes associated with the different colors can be scanned over the surface of an object to generate reflections from the surface. The colored reflections can be collected and imaged using detectors and then processed to produce in-focus images. The processing can include selecting different color information at different time points, e.g., in which one color is in focus at one time point and another color is in focus at another time point. The in-focus image data for the one color can be combined with in-focus image data of the other color, thereby producing an in-focus image that includes color data for both colors. Similarly, this can be applied to multiple color configurations. For example, in-focus image data for red, green and blue images can be combined to form an in-focus RGB image.

In another aspect, a system is provided for generating images of a patient's teeth. The system includes a color detector including a two-dimensional pixel array that includes: (a) a plurality of first pixels distributed within the pixel array, (b) a plurality second pixels distributed within the pixel array, and (c) a plurality of third pixels distributed within the pixel array. Each of the first pixels is configured to detect a first wavelength of light reflected from the patient's teeth. Each of the second pixels is configured to detect a second wavelength of light reflected from the patient's teeth different from the first wavelength. Each of the third pixels is configured to detect a third wavelength of light reflected from the patient's teeth different from the first and second wavelengths. The system further includes a processor operatively coupled to the first pixels, the second pixels, and the third pixels.

The first, second, and third wavelengths of light can be any suitable combination of different wavelengths. For example, the first wavelength can correspond to red light, the second wavelength can correspond to green light, and the third wavelength can correspond to blue light.

In many embodiments of the system for generating images of a patient's teeth, the pixel array includes a repeating pattern of the first pixels, the second pixels, and the third pixels. For example, the repeated pattern can consist of two of the first pixels, one of the second pixels, and one of the third pixels arranged in a two by two array.

In many embodiments of the system for generating images of a patient's teeth, the processor is configured to process signals received from the first pixels, the second pixels, and the third pixels to generate: (a) first image data at a first time point, (b) second image data at a second time point different from the first time point, and (c) third image data at a third time point different from the first and second time points. The first image data is generated in response to signals from the first pixels. The second image data is generated in response to signals from the second pixels. The third image data is generated in response to signals from the third pixels. The processor is configured to combine the first image data, the second image data, and the third image data to generate a focused color image of the patient's teeth. The processor can also be configured to process signals from the first pixels, the second pixels, and the third pixels to generate surface topology data for the patient's teeth.

Referring to FIG. 1, a scanning system 100 can include a computer system 102 having a computer 104 and a display 106. The system 100 can also include a scanner 108 that can be used to scan an object, e.g., a patient's dentition. The scans can be used, e.g., to generate three dimensional (3D) digital models of an object. The computer system 100 can include a microprocessor, memory, or any other suitable hardware configured to process a scanned image of the patient and the device having the coded pattern. The computer system 100 can also include input modules such as a keyboard, mouse, and/or tablet. The display 106 (or output device) can include a screen or monitor but may also include a printer, or any other display system. The display of the system, e.g., can be used to show the generated 3D digital models of an object.

A variety of scanners can be used, e.g., to acquire scan images of an object, such as a patient's teeth. The scanner 108, for example, can be configured to acquire surface topology of structures, e.g., dental surfaces of dental structures and/or other tissue surfaces of the face and head of a patient. In one embodiment, the scanner 108 can be used to acquire scan image data for 3D digital models of at least a portion of the patient's teeth. As shown in FIG. 1, the scanner 108 is also operatively connected to the computer system 102. The computer system 102 can be programmed for reconstructing scanned surfaces from the surface data provided, to provide a corresponding digital model of the structure scanned by the scanner. The scanner 108 may also include, for example, any suitable non-contact scanner, for example an optical scanner.

In some embodiments, color image data of the intraoral cavity is acquired together with the scan image data to provide a digital model that includes 3D digital data representing the surfaces of the structures as well as color information of the structures scanned, such as for example of dental surfaces.

The scanning systems can also be used for generating color images and/or 3D digital models of all or a portion of an intraoral cavity. In some embodiments, the system can also be configured to scan and generate color images and/or 3D digital models of the upper and/or lower arch of the patient. In certain embodiments, the system can be configured to scan and generate color images and/or 3D digital models of the upper and lower arches together in occlusion. As described further herein, the color images and/or 3D digital models can be used for certain aspects of the methods described herein. For example, the color images and/or 3D digital models can be used in alignment procedures and/or for generating physical models that accurately represent actual positions of the patient's teeth when the models are mounted in an articulator. The color images and/or 3D digital models can include topographical data and/or color data representing a variety of dental structures such as one or more teeth, partial or the full mandibular or maxillary arches, or both arches, and/or details of the spatial relationship between the upper and lower arches in occlusion as well as surrounding tissue, such as gums, and other dental prosthetics (e.g., crowns).

The 3D digital models can be acquired using a variety of suitable methods. In one embodiment, 3D digital models can be obtained by scanning a patient's intraoral cavity using any suitable equipment for scanning a patient's teeth. Such scanning equipment may include any suitable optical scanner, for example, the scanner 108 of system 100, a similar scanner that is not part of the system 100, or a different type of scanner. In alternative embodiment, the 3D digital models can be obtained from a physical model of the teeth of the particular patient. For example, the surfaces of the physical model can be scanned, or the surfaces of the impression from which the model was scanned can be scanned to obtain the digital model. In some embodiments, scans can be taken of physical models of a patient's lower arch, upper arch, and the arches in occlusion. Together with a scan of the coded pattern at least a portion of the patient's teeth, the physical models can then be modified, e.g., with alignment structures that provide for accurate representation of the patient's occlusion when the models are mounted in an articulator (e.g. holes in the models can have predetermined shapes, sizes and/or orientations for accurate mounting in an articulator). In some embodiments, a composite positive-negative model can be manufactured and processed to obtain 3D digitized data. Alternatively, the 3D digitized data may be obtained in any other suitable manner, including other suitable intra oral scanning techniques, based on optical methods, direct contact methods or any other means, applied directly to the patient's dentition or to a physical model thereof. X-ray based, CT-based, MRI-based, or any other type of scanning of the patient or of a positive and/or negative physical model of the intra-oral cavity can be used, as well. 3D digital models can also be obtained by other ways, such as from an electronic record or another practitioner or scanning facility.

A variety of scanning confocal devices can be used and combined, e.g., with the methods of generating in-focus color images described further herein. Example scanning devices can be found, e.g., in U.S. Publication No. US2012/0092678 and WO 00/08415, each of which is incorporated by reference herein. Referring to FIG. 2, an imaging device 200 that can be used for generating 3D topography and color images of an object is illustrated. As shown, a light source 202 for generating a light beam that can be illuminated through a confocal system 204 configured to split the light beam into a plurality of light beams that can, e.g., be directed through the imaging device and illuminated onto an object, e.g., a surface of a patient's teeth. As shown, the light beams can be optically coupled to a splitting optic 206 that can be, e.g., a beamsplitter or other optic configured to pass the illuminating light beams and redirect light beams that are reflected from the surface of the object. In some embodiments, the splitting optic 206 can be a dichroic mirror. The arrows in the imaging device of FIG. 2 provide additional reference for this concept. The imaging device 200 can also include other optical components, e.g., a lens and/or a mirror that can be used to direct light in the device. For example, lens 210 can be a static lens positioned in the imaging device, e.g., so as to allow for focusing of the reflected light beams onto surface of a detector 208. Other optical components can also be used in the device. For example, a dynamic lens 212 can be positioned in the device to allow for scanning of the object through focal planes in space. For purposes of explanation only, and not to be limiting, the relative dimension of scanning can be along a Z-axis that is perpendicular to an X-Y plane. The X-Y plane can be an arbitrary reference plane that can be referenced in relation to the device and/or the object. The dynamic lens 212 can be used to change the focal plane of light from the imaging device in relation to, e.g., a surface of an object. As shown by the double arrows in FIG. 2, the dynamic lens 212 can be moved back and forth (short double arrow) in the device 200, thereby allowing for scanning of the light illuminated by the device as indicated by the longer double arrow in the vicinity of the focal planes of light generated by the imaging device 200. One of ordinary skill in the art will appreciate the myriad ways to scan light using an imaging device, as disclosed herein. For example, the dynamic lens can be coupled to a motor or other mechanism for moving the lens in the device. A liquid lens, the shape of which can be controllably changed to controllably change the focal length of the liquid lens, can also be used.

In some embodiments, the imaging device 200 can include a probe 214 that is used for scanning an object, as further described herein. The probe can be a handheld probe. In some aspects, the probe can be fully integrated along with other components of the imaging device 200, as shown, e.g., in FIG. 2. Other embodiments can include having the probe 214 separated from some or all of the other components in imaging device 200. For example, the probe 214 may be handheld unit optically coupled to a standing unit that includes, e.g., the light source 202, lenses 210 and 212, and the detector 208. In some embodiments, the detector 208 may be housed in a separate unit from the other optical components and/or the probe 214. The detector 208 can be a color or monochrome image sensor, e.g., a CMOS or CCD camera.

In many embodiments, a polychromatic light source 216 is coupled to the imaging device so as to allow for scanning the object with several colors of light. Virtually any suitable colors or wavelengths can be used. The polychromatic light source can be used to produce a light beam having at least two wavelengths (e.g., a first wavelength and a second wavelength of light). Any suitable wavelength of light can be used. A line wavelength of light, such as the light produced by a laser, can be used or broader ranges of wavelengths of light that have a max wavelength with a spread, such as light produced by a light emitting diode can also be used. The polychromatic light source generally can output wavelengths of light that can allow for collection and generation of color images that can be used to simulate the colors of an object. For example, the wavelengths of light used for imaging can be used to show color of a patient's reddish gums versus a patient's whitish teeth.

The polychromatic light source 216 can also be coupled (e.g., optically coupled) to the rest of the imaging device 200. For example, a white light source (e.g., a white LED) can be optically coupled into the dynamic lens 212 so as to allow for focusing of the R, G, and B focal planes in the vicinity or overlapped with the focal plane of the plurality of light beams produced using the light source 202 and the confocal system 204. In some embodiments, the polychromatic light source can include a plurality of different wavelength light sources (e.g., red, green and blue LEDs) that can be arranged in a ring structure around the dynamic lens 210. In some embodiments, the polychromatic light source can include a plurality of LEDs (e.g., white LEDs) that can be arranged in a ring configuration around the dynamic lens 210. The positions of the LEDs in the ring can be designed to orient the emitted light to be coincident with the confocal light beams illuminating the surface of an object. Furthermore, the polychromatic light source can further be integrated into the system to provide homogeneous illumination of the surface of an object using polychromatic light.

In some embodiments, the optics in the imaging device 200 and the coupling of the polychromatic light source 216 can be configured to produce different focal planes for different colors of light. For example, the focal planes can correspond to red (R), green (G) and blue (B) light that can be used to scan a surface of an object. As shown in FIG. 2, the focal planes for the red light, green light and blue light can be at different positions along an axis. For example, an X-Y plane having red light can be at one position of a Z-axis, an X-Y plane having green light can be at another position of the Z-axis, and an X-Y plane having blue light can be at another position of the Z-axis.

The relative positions of the different colors at different focal planes can be depend on a variety of factors, such as the color of the light, refractive indices of the optical components, and/or use of optics that amplify chromatic aberrations that can cause the different colors to be focused at different focal planes. In some aspects, the different focal planes depending on the color (or wavelength) of light can be generated using a variety of techniques. In one embodiment, chromatic aberration from lens or other optics can be used to produce different focal planes having different wavelengths of light. In an alternative embodiment, optical components can be provided for each wavelength and arranged to generate different focal planes for each color. FIG. 2 represents the R, G and B focal points as being separated in an X-Y plane. However, the different R, G and B focal points can be arranged along a Z-dimension that is perpendicular to the X-Y plane. It will also be generally understood by one of ordinary skill in the art that the R, G, and B focal points can represent planes of red, green and blue light generated by the imaging device 200. These planes of different colored light can be scanned over the surface of an object and reflected back into the imaging device 200 and imaged using the detector 208.

As described above, the systems can include components to produce both color image data and 3D topographical data either independently or together. The collection of the data can be carried out using a variety of methodologies. For example, the same or different detectors in the system can be used to collect 2D and/or 3D image data. As shown in FIG. 2, the same detector 208 can be used to collect reflected light from the polychromatic light source 216 and the monochromatic light from light source 202. As also described, a light beam from light source 202 can be split into a plurality of light beams that can be transferred optically through the imaging device 200. In some embodiments, the light beam can be split into an array of light beams that can then be focused in a focal plane that will include an array of focal spots corresponding to the array of light beams. This array can be used, e.g., for confocal scanning of an object and for imaging the surface of the object to obtain 3D topographical data representing the object's surface. In some embodiments, the array of light beams can be combined such that the light beams are spatially overlaid with light that is generated by the polychromatic light source.

In one embodiment, a color detector can be used to collect both the color image data associated with the polychromatic light source and the 3D topographical data associated with the monochromatic array of light beams. For example, the color detector (e.g., detector 208 in FIG. 2) can have a desired pixel pattern for collecting color and 3D topographical data. While any suitable pixel array pattern can be used, in a preferred embodiment, the pixel array pattern has a red majority pixel arrangement, for example, as illustrated in FIG. 3. The arrangement illustrated in FIG. 3 is a preferred arrangement when a corresponding red wavelength is used as a monochrome topography capture wavelength. In a similar fashion, a blue majority arrangement, where the blue and the red color pixels change position in FIG. 3, is a preferred arrangement when a corresponding blue wavelength is used as a monochrome topography capture wavelength.

FIG. 3 provides an example pattern that is specifically designed to collect light from the confocal array on predetermined pixels in a color detector. Other RGB pixels are used, e.g., to collect white or polychromatic light reflected from the surface of an object being imaged. As shown in FIG. 3, the pixel pattern has repeating quadrants of pixels that are sensitive to different colors. Pixels in color sensor can be fabricated to have a red pixel in the top left and bottom right quadrant. The pixel in the top right quadrant can be green and the pixel in the bottom left quadrant can be blue. These quadrants can be repeated throughout the sensor chip. To provide for simpler and quicker collection of color and topographical data, the bolded red pixels can be coupled with the array of confocal beams such that each confocal beam can be positioned to illuminate each corresponding red pixel in the patterned array of pixels. As shown, the array of confocal beams can be configured in the system such that each beam illuminates every other red pixel in alternating rows (e.g., row 1 and 3) in the sensor pattern. Accordingly, when 3D topographical scan data is acquired, the pixel pattern will collect 3D topographical scan data from the bolded pixels, but not from other pixels on the surface. The remainder of the pixels, as well as the bolded pixels, can be, however, used to collect color image data from the reflected polychromatic (e.g., white) light. As will be generally understood in the art, the RGB sensitive pixels can be processed and used to generate color images of the surface of the object. Similarly, 3D topographical data of the surface can be processed and used, e.g., to generate 3D virtual models of the surface. With the specific pattern and known positions of the pixels, color image data and 3D topographical data of the surface of an object can be combined and overlaid together to be displayed, e.g., to a user.

In addition to the devices and systems described herein, methods for generating in-focus color images of an object are provided. For example, FIG. 4A illustrates acts of a method 300 for generating an in-focus color image of an object. The method 300 includes act 302 through act 312, act 320, act 322, and act 326. In a preferred embodiment, the method 300 includes optional acts 314 through 318 and optional act 324. Also in a preferred embodiment, acts 322 through act 326 are repeated for a suitable plurality of image locations. Any suitable imaging system, such as any suitable imaging system as described herein can be used to practice the method 300.

In act 302, the object is illuminated with a first wavelength of light that is focused to a first wavelength focal length. For example, a polychromatic light source that produces polychromatic light that includes light having the first wavelength can be used to illuminate the object. A monochromatic light source that produces monochromatic light having the first wavelength can also be used to illuminate the object as an alternative. A suitable optics, such as the optics in the system 200 illustrated in FIG. 2, can be used to focus the first wavelength to a focal length.

In act 304, the first wavelength focal length is scanned through a suitable plurality of different focal lengths. The range of the focal lengths used can be selected to ensure that the imaged portion of the object is enveloped by the range of focal lengths used. The number of focal lengths used can be selected based on a desired accuracy of focus in the resulting focused color image.

In act 306, image data is generated corresponding to the first wavelength of light reflected from the object for the plurality of different first wavelength focal lengths employed. Any suitable image sensor can be used to generate the image data. For example, a color image sensor, such as the detector illustrated in FIG. 3, can be used to generate the image data. In one embodiment, at least one of the red pixels in each repeating quadrant of four pixels is used to generate a signal in response to the first wavelength of light reflected from the object that is incident on the red pixel. In many embodiments, the image data is obtained for each of the different first wavelength focal lengths employed. The image data, however, can be obtained for any suitable set of the first wavelength focal lengths employed. For example, depending on the location in the image, some of the first wavelength focal lengths may be sufficiently out of focus relative to the corresponding location on the object such that generating associated data can be skipped so as to reduce associated data processing. In many embodiments, the image sensor pixels generate signals indicative of the intensity of the reflected light incident thereon. In many embodiments, the image data includes intensity data for the reflected light incident on the detector pixels.

In act 308, the object is illuminated with a second wavelength of light that is focused to a second wavelength focal length. For example, a polychromatic light source that produces polychromatic light that includes light having the second wavelength can be used to illuminate the object. A monochromatic light source that produces monochromatic light having the second wavelength can also be used to illuminate the object as an alternative. A suitable optics, such as the optics in the system 200 illustrated in FIG. 2, can be used to focus the second wavelength to a focal length.

In act 310, the second wavelength focal length is scanned through a suitable plurality of different focal lengths. The range of the focal lengths used can be selected to ensure that the imaged portion of the object is enveloped by the range of focal lengths used. The number of focal lengths used can be selected based on a desired accuracy of focus in the resulting focused color image.

In act 312, image data is generated corresponding to the second wavelength of light reflected from the object for the plurality of different second wavelength focal lengths employed. Any suitable image sensor can be used to generate the image data. For example, a color image sensor, such as the detector illustrated in FIG. 3, can be used to generate the image data. In one embodiment, the green pixel in each repeating quadrant of four pixels is used to generate a signal in response to the second wavelength of light reflected from the object that is incident on the green pixel. In many embodiments, the image data is obtained for each of the different second wavelength focal lengths employed. The image data, however, can be obtained for any suitable set of the second wavelength focal lengths employed. For example, depending on the location in the image, some of the second wavelength focal lengths may be sufficiently out of focus relative to the corresponding location on the object such that generating associated data can be skipped so as to reduce associated data processing. In many embodiments, the image sensor pixels generate signals indicative of the intensity of the reflected light incident thereon. In many embodiments, the image data includes intensity data for the reflected light incident on the detector pixels.

In optional act 314, the object is illuminated with a third wavelength of light that is focused to a third wavelength focal length. For example, a polychromatic light source that produces polychromatic light that includes light having the third wavelength can be used to illuminate the object. A monochromatic light source that produces monochromatic light having the third wavelength can also be used to illuminate the object as an alternative. A suitable optics, such as the optics in the system 200 illustrated in FIG. 2, can be used to focus the third wavelength to a focal length.

In optional act 316, the third wavelength focal length is scanned through a suitable plurality of different focal lengths. The range of the focal lengths used can be selected to ensure that the imaged portion of the object is enveloped by the range of focal lengths used. The number of focal lengths used can be selected based on a desired accuracy of focus in the resulting focused color image.

In optional act 318, image data is generated corresponding to the third wavelength of light reflected from the object for the plurality of different third wavelength focal lengths employed. Any suitable image sensor can be used to generate the image data. For example, a color image sensor, such as the detector illustrated in FIG. 3, can be used to generate the image data. In one embodiment, the blue pixel in each repeating quadrant of four pixels is used to generate a signal in response to the third wavelength of light reflected from the object that is incident on the blue pixel. In many embodiments, the image data is obtained for each of the different third wavelength focal lengths employed. The image data, however, can be obtained for any suitable set of the third wavelength focal lengths employed. For example, depending on the location in the image, some of the third wavelength focal lengths may be sufficiently out of focus relative to the corresponding location on the object such that generating associated data can be skipped so as to reduce associated data processing. In many embodiments, the image sensor pixels generate signals indicative of the intensity of the reflected light incident thereon. In many embodiments, the image data includes intensity data for the reflected light incident on the detector pixels.

In act 320, one of the first wavelength focal lengths for which the first wavelength is focused relative to the object at a respective location is selected. In many embodiments, the selection is based on analysis of the first wavelength reflected from the object at the respective location. For example, the signals generated by a pixel of a detector indicative of intensity of the first wavelength incident thereon can be compared to determine which of the first wavelength focal lengths provides the highest intensity thereby being indicative of the best focus relative to the object for the respective location. In act 322 and act 324, similar selections are made with respect to the second and third wavelength focal lengths.

In act 326, image data for the utilized wavelengths (e.g., first, second, and third wavelengths) corresponding to the selected focal lengths are combined for the respective location. Accordingly, the combined imaged data is generated using in-focus data for each of the utilized wavelengths.

Act 322 through act 326 is repeated for other image locations. Accordingly, the resulting focused color image, at least for an object having a non-trivial, non-planar geometry, will typically be generated using location dependent focal lengths for each of the utilized wavelengths, thereby providing for increased image quality relative to images generated with a single, or non-location dependent focal lengths.

The method 300 can further include additional acts and/or additional details. For example, if a polychromatic light is used or multiple monochromatic light sources are used, the first, second, and third wavelengths can be scanned simultaneously as each type of pixel (e.g. red, green, and blue) in the color image sensor will sense the wavelength of light associated with that pixel. Another alternative is to use a monochrome sensor and use a series of monochrome light sources of different colors and perform a separate scan with each color and use the monochromatic sensor for each color.

Additionally, the first wavelength of light can include a wavelength between about 465 nm and about 485 nm. The second wavelength of light can include a wavelength between about 500 nm and about 520 nm. The third wavelength of light can include a wavelength between about 640 nm and about 660 nm. The first wavelength image data can include intensity and position data for the first wavelength for each of the plurality of first wavelength focal lengths or a suitable subset of the first wavelength focal lengths. The second wavelength image data can include intensity and position data for the second wavelength for each of the plurality of second wavelength focal lengths or a suitable subset of the second wavelength focal lengths. The third wavelength image data can include intensity and position data for the third wavelength for each of the plurality of third wavelength focal lengths or a suitable subset of the third wavelength focal lengths. A white light source can be used to illuminate the object with the first wavelength, the second wavelength, and/or the third wavelength.

The method 300 can also include collecting surface topology data of the object using a scanning system. For example, the scanning system can include a monochromatic light source that is used to illuminate the object with monochromatic light. A focal length of the monochromatic light can be scanned through a plurality of different monochromatic light focal lengths. For each of a plurality of different locations in the focused color image, one of the monochromatic light focal lengths, for which the monochromatic light is focused relative to the object at the respective location, can be selected based on analysis of the monochromatic light reflected from the object at the respective location. The surface topology data can be generated based on the selected monochromatic light focal lengths. The surface topology data and the focused color image of the object can be aligned in a common frame of reference.

The focal length for each respective wavelength being focused relative to the object can be selected so as to result in a reduced blur circle diameter relative to existing approaches. For example, in many embodiments, the focal length for each respective wavelength being focused relative to the object is selected to results in a blur circle diameter not greater than 0.4 mm. In an exemplary embodiment, a blur circle diameter of not greater than 0.4 mm can be achieved by focusing the respective wavelength within 3.2 mm of the object location being imaged. As another example, in more closely focused embodiments, the focal length for each respective wavelength being focused relative to the object is selected to results in a blur circle diameter not greater than 0.2 mm. In an exemplary embodiment, a blur circle diameter of not greater than 0.2 mm can be achieved by focusing the respective wavelength within 1.6 mm of the object location being imaged.

The approaches disclosed herein, including methods like method 300, can be embodied within a suitably configured scanning device. For example, in many embodiments, a scanning device is configured to implement a computer-implemented method for generating a focused color image of an object. The computer-implemented method includes processing image signals corresponding to a first wavelength of light of a plurality of different focal lengths that is reflected from the object so as to generate first wavelength image data. Image signals corresponding to a second wavelength of light of a plurality of different focal lengths that is reflected from the object are processed so as to generate second wavelength image data. The second wavelength is different from the first wavelength. For each of a plurality of different locations in the focused color image, the method includes: (a) selecting one of the first wavelength focal lengths for which the first wavelength is focused relative to the object at the respective location, wherein the selected first wavelength focal lengths for the plurality of different locations in the focused color image comprise at least two different focal lengths; (b) selecting one of the second wavelength focal lengths for which the second wavelength is focused relative to the object at the respective location, wherein the selected second wavelength focal lengths for the plurality of different locations in the focused color image comprise at least two different focal lengths; and (c) combining the first wavelength image data corresponding to the selected first wavelength focal length for the respective location and the second wavelength image data corresponding to the selected second wavelength focal length for the respective location, thereby generating focused color image data for the respective image location for the focused color image of the object.

The methods disclosed herein, such as the method 300, can be practiced via a suitable computer program. For example, in many embodiments, a tangible medium is used to store non-transitory computer readable instructions, that when executed by an imaging system comprising one or more processors, cause the imaging system to perform any suitable method disclosed herein.

In accordance with many embodiments, FIGS. 4B through 4D illustrate aspects of generating a focused color image of an object. As illustrated in FIG. 4B, a three-dimensional object 350 includes an external surface 352 that is disposed over a range of distances from a scanner 108 used to generate an image of the object 350. As a result, at least a portion of the external surface 352 will be out of focus for any particular focal length employed by the scanner 108. For example, while a first location 354 on the external surface will be in focus when a first focal length 356 is employed, second and third locations 358, 360 on the external surface 352 will be out of focus. Likewise, the second location 358 will be in focus when a second focal length 362 is employed, but the first and third locations 354, 360 will not be in focus. The third location 360 will be in focus when a third focal length 364 is employed, while the first and second locations 354, 358 will then be out of focus.

In many embodiments, image data for a plurality of focal lengths is obtained for use in generating a focused color image. The plurality of focal lengths is obtained by scanning the focal length of each of the wavelengths (e.g., red, green, and blue) employed. FIG. 4C illustrates a plurality of focal lengths 366, the limits of which extend above and below the external surface 352 of the object 350. Because the image data includes a plurality of focal lengths, a focal length for a respective image location, which corresponds to a respective location on the external surface 352, can be selected so that the respective location on the external surface 352 is in focus. Any suitable approach can be used to select focal lengths for which the respective location on the object is in focus for each of the wavelengths used to construct the in-focus color image. For example, light reflected from the respective object location for a plurality of candidate focal lengths can be analyzed to determine which of the candidate focal lengths corresponds to the best focus of the light relative to the respective object location. In many embodiments, the light reflected from the respective object location is analyzed to identify which of the candidate focal lengths results in maximum intensity of the reflected light. Alternatively, the in-focus situation can be inferred from the high spatial frequency contents of an image portion of the said wavelength. Higher frequency contents indicate better focus proximity. One or more of the wavelengths can be analyzed to determine the distance to the respective object location. The determined distance can then be used for adjacent scan frames where the time between frames is sufficiently small to preclude a significant relative movement between the scanning device and the object being imaged.

In many embodiments, in-focus image data for each object location is generated by combining the in-focus color data for the object location. The in-focus image data for each object location can then be combined to generate an overall in focus color image for the object.

FIG. 4D illustrates chromatic aberration induced variation in focal lengths. When a polychromatic light source is employed, chromatic aberration in the optics can result in the first, second, and third wavelengths having different focal lengths at a given point in time. For example, at a starting point in time during focal length scanning, a corresponding starting blue focal length 368 can be disposed above a corresponding starting green focal length 370, which can be disposed above a corresponding starting red focal length 372. Likewise, at a later point in time of focal length scanning, a corresponding blue focal length 374 is similarly disposed above a corresponding green focal length 376, which is disposed above a corresponding red focal length 378. In many embodiments, such differences between the focal lengths of the wavelengths employed is accounted for when determining which location dependent image data subsets to combine for each of the respective image locations so as to generate the resulting focused color image.

In one aspect, an imaging device or scanner can be positioned near an object (e.g., in a patient's mouth near the patient's teeth). The scanner can be configured to generate both an in-focus color image and 3D topography data. For example, in many embodiments, a scanner employs polychromatic light for color imaging and monochromatic light for 3D topographical imaging. The light for each imaging mode can be focused to a focal length. For example, a blue focal length, a green focal length, and a red focal length can be disposed along a Z-dimension (as shown, e.g., in FIG. 5). A focal length associated with light employed for 3D imaging can also be produced by the scanner. The scanner can scan the focal lengths up and down in the Z-dimension and collect 3D and color image data for the various focal lengths employed. To image a region of an object, the scanner can be held over the region and the focal lengths can be scanned in the Z-dimension over time (e.g., over a time span on the order of milliseconds). During the scanning of the focal lengths, the scanner can be held in a stable position over the object and the focal lengths can be scanned in the Z-dimension. During an up-scanning of the focal lengths, a down-scanning of the focal lengths, or both, color image data and/or 3D topographical data can be collected for the region of the object. After scanning of the focal lengths for the region of the object is complete, the collected color image data and/or 3D topographical data can be processed by a computer system and, e.g., output for visual display. A user holding the device can then move the imaging region to another section of the object (e.g., another section of a patient's teeth) and then acquire additional color and topographical data to then be processed and output to the display. This process can be repeated until an object is completely scanned. The image data from each region of the object can be combined (e.g., using methods for generating a focused color image described herein) to render a full focused color image of the object. For example, a full image of a patient's teeth can be generated to include both 3D topography of the patient's teeth and associated focused color image data of the patient's teeth, gums, or other colored material in the patient's mouth.

As described herein, improved methods and systems are provided for generating color images of an object, including a variety of methods for generating a focused color image of an object. In some embodiments, a first wavelength of light can have a wavelength between about 465 nm and about 485 nm, a second wavelength of light can have a wavelength between about 500 nm and about 520 nm, and a third wavelength of light can have a wavelength between about 640 nm and about 660 nm. Other wavelengths can also be used and configured for a particular application and/or detector being used. For example, a cyan-magenta-yellow (CMY) color scheme can be used, or a red-green-blue (RGB) color scheme can be used.

In many embodiments, white light is used to illuminate the object for which the focused color image is generated, a red-green-blue (RGB) color sensor is used to generate image signals in response to the light reflected from the object, and low dispersed optics are used to deploy the different wavelengths of the white light into different focal planes. And in many presently preferred embodiments, the optical dispersion is designed such that the distance between the red focal plane and the green focal plane is equal to the distance between the green focal plane and the blue focal plane. For example, the optical dispersion can be designed such that when the red wavelength focal plane is located at a reference z-dimension (Z0), the green wavelength focal plane is at the reference z-dimension plus a selected delta-z distance (Z0+ΔZ) and the blue wavelength focal plane is at the reference z-dimension plus two times the selected delta-z distance (Z0+2ΔZ). By scanning the focal lengths in a stepwise fashion with each step equal to the selected delta-z distance (ΔZ) between acquisition of color image data, the elemental color data (e.g., red data, green data, and blue data) for three adjacent color image scan frames can be combined to generate in-focus color data for a particular object location. FIGS. 5, 6, 7 and 8 illustrate scanning approaches that can be used in conjunction with an optical system having dispersion that is designed such that the distance between the red focal plane and the green focal plane is equal to the distance between the green focal plane and the blue focal plane. While the scanning approaches illustrated in FIGS. 5, 6, 7, and 8 can be used in conjunction with an optical system having dispersion that is designed such that the distance between the red focal plane and the green focal plane is equal to the distance between the green focal plane and the blue focal plane, any suitable optical system can be used, including optical systems that do not have dispersion that is designed such that the distance between the red focal plane and the green focal plane is equal to the distance between the green focal plane and the blue focal plane. For example, the approaches disclosed herein for generating an in-focus color image can be used in conjunction with an optical system having dispersion such that the distance between the red focal plane and the green focal plane is not equal to the distance between the green focal plane and the blue focal plane. As another example, the approaches disclosed herein for generating an in-focus color image can be used in conjunction with an optical system configured such that the red focal plane, the green focal plane, and/or the blue focal plane are substantially coincident for any particular scan frame.

FIG. 5 illustrates an approach for obtaining both in-focus color image data and surface topography data during focal length scanning. As shown, focal lengths of the respective wavelengths can be scanned over a distance along a Z-dimension in an interval of time. For example, the focal lengths can be scanned over a range of millimeters or centimeters or more depending on the scale of surface features of an object. FIG. 5 shows scanning over a range of tens to hundreds of millimeters (e.g., as shown, about 10-20 millimeters). The time frame for the scanning can also be on the order of microseconds, milliseconds, or longer. A full scan time for scanning an object can depend, e.g., on the amount of area and/or number of Z-scans used for generating an image. In FIGS. 5 through 8, the time axis is in milliseconds.

In many embodiments, the scanner collects data used for generating a focused color image of the imaged object and/or 3D topographical data representing the imaged object. In the embodiment illustrated in FIG. 5, the scanned object is illuminated with polychromatic light (e.g., white light) at varied time points during scanning of the focal lengths along the Z-direction. In FIG. 5, each time point with white illumination is illustrated with the B, G, and R boxes. The focal lengths for the blue, green, and red light from the white light source can be arranged in different Z-positions, e.g., by tailoring the chromatic aberration of the scanner's optics. The focal lengths of the red, green, and blue light are varied during the scan. Image data can be acquired for each of the focal lengths during the scan. Once in-focus image data is acquired for the respective image locations for each color wavelength employed (e.g., red, green, and blue), the in-focus color data for the respective location can be combined to generate in-focus color data for the respective image location. The in-focus color data for all the respective locations can then be combined to generate an overall in focus color image for the object.

In many embodiments that employ wavelength dependent focal lengths, for example, due to chromatic aberration, the in-focus color image data (e.g., red, green, and blue in-focus image data) that are combined to generate in-focus image data for a particular object location are obtained at different times. For example, referring to FIG. 5, when a particular object location is in focus at a first time point T1 relative to an employed blue wavelength (blue focal position 382), the particular object location is out of focus relative to employed green and red wavelengths (green focal position 384 and red focal position 386). At a second time point T2, the particular object location is in focus relative to the green wavelength employed (green focal position 388) while being out of focus relative to the employed blue and red wavelengths (blue focal position 390 and red focal position 392). At a third time point T3, the particular object location is in focus relative to the red wavelength employed (red focal position 394) while being out of focus relative to the employed blue and green wavelengths (blue focal position 396 and green focal position 398). In such a scenario, the blue image data for the particular object location from the first time point T1 (blue focal position 382) can be combined with the green image data for the particular object location from the second time point T2 (green focal position 388) and the red image data for the particular object location from the third time point T3 (red focal position 394) to generate in-focus color image data for the particular object location. Combination of the image data can, e.g., be carried out using the computer system and processor as described further herein.

In a similar fashion, different object locations with significantly different distance from the scanner will have different in-focus focal lengths. Accordingly, the in-focus color data for such different locations will be obtained at different time points during scanning of the focal lengths.

As shown in FIG. 5, 3D topography data for the object can be obtained during scanning of the focal lengths at time points between the time points at which the in-focus color image data is obtained. For example, between time point I and time point II in FIG. 5, 3D topography data can be obtained by illuminating the object with monochromatic light in the form of an array of separate beams that are each focused to a focal length. In many embodiments, the focal length of the separate monochromatic beams are incrementally scanned through a plurality of different focal lengths and image data for each of the beams is obtained for each focal length. Similar 3D topography can be obtained between time point II and time point III, between time point III and time point IV. The image data for each of the beams can then be analyzed to identify which focal length results in maximum intensity of the reflection of the respective beam from the object surface, thereby being indicative of the location of the best focus of each beam relative to the object surface, which indicates the distance between the scanner and the object surface for the object location from which each beam is reflected.

The color image data can be collected at suitable time points during scanning of an object surface. For example, 3D topographical data can be collected through both the up and down scans and either entirely or partially throughout the scans, as well. FIG. 6, for example, shows a combination method of collecting both color 2D image data and 3D topographical data during scanning of an object. As shown, color RGB image data can be generated at time points during focal length scanning along a Z-dimension. In focus color data for a particular object location can be generated, e.g., by combining the color image data from different time points in the scan, in which each color, e.g., RGB, are in focus relative to the particular object location at their respective times. Shown in FIG. 6, the 3D topographical data and the color image data can be collected during both the ups and downs of the focal length scanning procedure. As another example, as shown in FIG. 7, the color image data can be collected on both the up scan and the down scan and the 3D topography data collected only during the up scan.

As described above, the systems can include both imaging optics for 3D confocal imaging as well as 2D color imaging. FIG. 6 depicts an example scanning protocol that can involve staggered collection and/or generation of both color and 3D topographical data of an object. As shown, color image data (e.g., RGB data) can be collected, followed by collection of 3D topographical data of the surface of the object, followed by color image data (e.g., RGB data), and so on. Any combination of collecting color image data and/or 3D topographical data can be employed. For example, 3D topographical data can be collected during suitable time periods and used to generate 3D virtual models of the object, and 2D color image data can be collected during suitable time periods other than those used to collect 3D topographical data. The scanning time used for collecting 3D topographical data can be significantly longer than the time used to collect 2D color image data, for example, 5 times longer, 10 times longer, or 20 or more times longer. Longer multiples, shorter multiples, or any multiples in between can be used.

As shown in FIG. 8, the collection of 3D topographical data can be performed during the up scan, and 2D color image data collected during the down scan. As shown, the 2D color image data and the 3D topographical data can be collected independently. It is also envisioned that any of the embodiments described herein, e.g., in FIGS. 5-8, as well as other combinations can be used at anytime during a focal length scanning procedure. For example, some of the ups and downs of the scans during a focal length scanning procedure can include both collection of the 2D color image data and the 3D topographical data. Some of the scans could include collecting the 2D color image data and the 3D topographical data independently.

While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby. 

What is claimed is:
 1. A system for generating focused color image data of an object, the system comprising: a polychromatic light source that produces light comprising a first range of wavelengths, a second range of wavelengths, and a third range of wavelengths; an optics system optically coupled to the polychromatic light source and operable to focus each of the first, second, and third ranges of wavelengths to a corresponding plurality of respective focal lengths; a detector configured to collect color intensity data for each of the first, second, and third ranges of wavelengths at each corresponding plurality of respective focal lengths, the detector comprising first pixels sensitive to the first range of wavelength, second pixels sensitive to the second range of wavelengths, and third pixels sensitive to the third range of wavelengths; and a processor configured to, for a location in the color intensity data: determine, for each of the first, second, and third ranges of wavelengths, a focal length for which the respective range of wavelengths is focused relative to an object at the location in the color intensity data; and combine the color intensity data for each of the first, second, and third ranges of wavelengths at the determined focal length, thereby generating focused color image data for the location in the color intensity data.
 2. The system of claim 1, wherein the optics system comprises a movable optical component configured to, for each of the first, second, and third ranges of wavelengths, scan through the corresponding plurality of respective focal lengths.
 3. The system of claim 1, wherein the first range of wavelengths is between about 65 nm and about 485 nm, the second range of wavelengths is between about 500 nm and about 520 nm, and the third range of wavelengths is between about 640 nm and about 660 nm.
 4. The system of claim 1, wherein the location in the color intensity data corresponds to a plurality of pixels in the detector.
 5. The system of claim 1, wherein: the light source comprises a white light source; and the detector comprises a color image detector.
 6. The system of claim 1, wherein the processor is configured to generate focused color image data for a plurality of locations in the color intensity data, and wherein at least one of the first, second, and third ranges of wavelengths has different determined focal lengths for at least two of the plurality of image locations.
 7. The system of claim 1, further comprising a scanning system configured to collect surface topology data of the object.
 8. The system of claim 1, wherein the system is wholly or partially incorporated into a hand-held device.
 9. The system of claim 1, wherein the light source produces light that simultaneously comprises the first, second, and third ranges of wavelengths.
 10. A method of generating focused color image data of an object, the method comprising: illuminating the object with a first range of wavelengths, a second range of wavelengths, and a third range of wavelengths; focusing the first, second, and third range of wavelengths to a corresponding plurality of respective focal lengths; processing color intensity data of light reflected off the object, the color intensity data corresponding to the plurality of focal lengths for each of the first, second, and third range of wavelengths so as to generate image data for each of the plurality of wavelengths, for a location in the color intensity data: determining, for each of the first, second, and third range of wavelengths, a focal length for which the respective range of wavelengths is focused relative to the object at the location; and combining the color intensity data for each of the plurality of range wavelengths at the determined respective focal lengths, thereby generating focused color image data for the location.
 11. The method of claim 10, wherein the first range of wavelengths comprise a wavelength between about 465 nm and about 485 nm, the second range of wavelengths comprise a wavelength between about 500 nm and about 520 nm, and the third range of wavelengths comprise a wavelength between about 640 nm and about 660 nm.
 12. The method of claim 10, wherein the color intensity data are generated in response to the reflections from the object produced via white light illumination of the object comprising the first, second, and third range of wavelengths.
 13. The method of claim 10, further comprising processing color intensity data to generate surface topology data of the object.
 14. The method of claim 10, wherein the determined focal length for a wavelength of the plurality of wavelengths being focused relative to the object results in a blur circle diameter not greater than 0.4 mm.
 15. The method of claim 14, wherein the determined focal length for a wavelength of the plurality of wavelengths being focused relative to the object results in a blur circle diameter not greater than 0.2 mm.
 16. The method of claim 10, further comprising: generating the first range of wavelengths, the second range of wavelengths, and the third range of wavelengths with a white light source.
 17. The method of claim 16, wherein the white light source comprises a plurality of light sources.
 18. The method of claim 17, wherein the plurality of light sources includes a first light source configured to generate the first range of wavelengths, a second light source configured to generate the second range of wavelengths, and a third light source configured to generate the third range of wavelengths.
 19. The method of claim 10, wherein the first range of wavelengths is between about 65 nm and about 485 nm, the second range of wavelengths is between about 500 nm and about 520 nm, and the third range of wavelengths is between about 640 nm and about 660 nm.
 20. The method of claim 10, wherein processing color intensity data of light reflected off the object further comprises: detecting the intensity of the light with a color image detector. 